Papers
32
Total Citations
186
H-Index
8
About
Pingguo Huang is a robotics researcher whose work centers on teleoperation, haptic feedback, and cooperative remote robot systems. His research addresses one of the fundamental challenges in remote robotics: maintaining stable, reliable control when human operators manipulate industrial robots across network environments using haptic interface devices. Through a sustained body of work published primarily between 2017 and 2021, Huang has made notable contributions to stabilization control methods, including wave filter and phase control filter techniques that counteract the destabilizing effects of network delay on force-feedback systems. A particularly significant strand of his research explores cooperative teleoperation, where two remote robot arms collaboratively handle objects while minimizing excessive applied forces — a problem he tackled through innovative robot position control strategies informed by real-time force data. His more recent investigations integrate artificial intelligence and Quality of Service (QoS) control, examining how cloud computing and neural networks can mitigate the impact of network latency on haptic performance. Collectively, his publications have accumulated nearly 120 citations, reflecting growing interest in his contributions. Students studying human-robot interaction, bilateral control, or networked robotics will find Huang's work a valuable reference for both theoretical grounding and practical experimentation.
Research Focus
Key Achievements
Top Papers
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- 7Stabilization of bilateral control in remote robot system8 citations · 2017
- 8QoS Control in Remote Robot Operation with Force Feedback8 citations · 2021
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